Results 41 to 50 of about 705 (186)
Multi-Kernel Maximum Correntropy Kalman Filter
, 2022 Maximum correntropy criterion (MCC) has been widely used in Kalman filter to cope with heavy-tailed measurement noises. However, its performance on mitigating non-Gaussian process noises and unknown disturbance is rarely explored.
Shi, Dawei +3 more
core +1 more source
Adaptive blind equalization for multi‐level QAM signals in impulsive noise environment
IET Communications, 2022 A maximum correntropy criterion‐blind clustering multi‐modulus algorithm (MCC‐BCMMA) is proposed to equalize multi‐level quadrature amplitude modulation (QAM) channels in impulsive noise environment.
Yijiao Zhang +5 more
doaj +1 more source
Multi-convex combined filter based on maximum correntropy criterion
Dianzi Jishu Yingyong, 2018 Correntropy based algorithms are widely used in non-Gaussian signal processing, but they also suffer from the conflict between the step size and the misadjustment.
Wu Wenjing +3 more
doaj +1 more source
An Improved Variable Kernel Width for Maximum Correntropy Criterion Algorithm [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2020 The maximum correntropy criterion (MCC) algorithm has attracted much attention due to its capability of combating impulsive noise. However, its performance depends on choice of the kernel width, which is a hard issue. Several variable kernel width schemes based on various error functions have been proposed to address this problem.
Long Shi 0002 +2 more
openaire +2 more sources
智能科学与技术学报, 2021 A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not ...
Qinru YU, Guifu LU
doaj
Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study
Remote Sensing, 2022 Correntropy has been proved to be effective in eliminating the adverse effects of impulsive noises in adaptive filtering. However, correntropy is not desirable when the error between the two random variables is asymmetrically distributed around zero.
Hua Qu +5 more
doaj +1 more source
Cognitive Computation and Systems, 2022 Aiming at meetiing the need to filtering flight trajectory data for aircraft testing, a novel adaptive cubature Kalman filter (CKF) is proposed based on the maximum correntropy and Gaussian‐sum in this paper.
Jing G. Bai +4 more
doaj +1 more source
, 2023 This paper investigates the state estimation problem for the linear discrete-time system with both packet dropping and non-Gaussian noise. Specifically, maximum correntropy Kalman filter algorithms are derived under different packet dropping models. Both
Song, Xinmin +3 more
core +1 more source
Unbiased converted measurement manoeuvering target tracking under maximum correntropy criterion
Cognitive Computation and Systems, 2020 In this study, the manoeuvering target tracking problem is addressed by using the unbiased converted measurements from a two-dimensional radar system.
Guoyong Wang, Xiaoliang Feng
doaj +1 more source
Error analysis on regularized regression based on the Maximum correntropy criterion
Mathematical Foundations of Computing, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bingzheng Li, Zhengzhan Dai
openaire +3 more sources